Job
- Level
- Experienced
- Location
- Aldersbach
- Working Model
- Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop robust data architectures, design end-to-end data pipelines, and implement AI models for process optimization in production and logistics environments.
Job Technologies
Your role in the team
- Design, development, and continuous improvement of a standardized IT/OT architecture for end-to-end processes in production and logistics (including MQTT, Unified Namespace, MES systems).
- Definition, implementation, and monitoring of technical standards, governance structures, and operational policies.
- Ensuring operational security, performance, and compliance for all responsible solutions.
- Design and implementation of end-to-end data pipelines from MES, SAP, logistics, or edge systems.
- Development and further enhancement of a data warehouse or data lake for the Operations area (e.g., Snowflake, Microsoft Fabric, DataVault 2.1).
- Implementation of robust mechanisms for data quality control, monitoring, and error handling.
- Standardization of data models, integration patterns, and interface architectures.
- Close collaboration with IT teams and global data platform organizations.
- Design, selection, and deployment of AI models for process optimization, anomaly detection, or early failure prediction.
- Development of data agents and intelligent services to support operational processes.
- Conceptualization and implementation of Proof-of-Concept (PoC) for new technologies and AI methods.
- Assessment of technological trends and derivation of strategic recommendations for the organization.
- Ensuring model robustness, scalability, and compliance in production environments.
- Design and implementation of a consistent KPI report for Operations.
- Development of complex dashboards and self-service analytics in Power BI.
- Supporting the departments in identifying use cases and translating them into technical solution designs.
- Combination of lean management principles with digital methods to increase efficiency and process stability.
- Creation of technical documentation.
- Coordination of external service providers and monitoring of their technical performance.
- Participation in global initiatives (technology transfer, training, technology rollouts).
- Active communication with stakeholders at shop floor, engineering, and management levels.
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Our expectations of you
Education
- Completed degree in Computer Science, Engineering, or a comparable field.
Qualifications
- Excellent knowledge of Python, MS SQL, and modern software/data architectures.
- Solid knowledge of Machine Learning, AI methods, and Data Analytics.
- Knowledge of industrial IT/OT technologies: MQTT, Unified Namespace, Edge Connectors, MES systems, Snowflake, Microsoft Fabric, Power BI.
- Experience in the development of industrial software solutions.
- Proficient in IT security, governance, and quality processes.
- Knowledge of Lean Management and Process Optimization.
- Structured, solution-oriented working approach.
- Analytical thinking and strong problem-solving skills.
- Strong communication skills and the ability to explain technical content clearly.
- Independent work combined with team skills.
- Very good German skills (minimum C1) and English skills (minimum B2) in speaking and writing.
Experience
- Experience in Data Engineering (Pipelines, ETL/ELT, APIs, Event Flows).
- Experience in building Data Warehouse/data platforms.
- Experience in project management with budget and time responsibility.
- Experience in manufacturing or logistics environments.
- Experience with global project or transformation programs.
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What we offer
- An exciting and varied role awaits you in an international environment, along with an attractive benefits package.
- Shift workers operate in three-shift or multi-shift systems and receive substantial financial allowances.
- A wide range of training opportunities support your professional and personal development.
- In addition, you can look forward to numerous additional benefits, including occupational health services and health prevention, sports and wellness programs, JobRad, as well as a modern company location with diverse corporate catering.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Knorr-Bremse AG
Knorr-Bremse is the world leader in manufacturing brake systems and other subsystems for rail vehicles. Our 29,000 employees at over 100 locations in 30 countries around the world ensure mobility with technological excellence, sustainable economic practices, and social responsibility. We offer our employees a varied and challenging workload in an international setting, with attractive conditions such as flexible working hours, opportunities for professional and personal development, and health and fitness programs.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
AI & Data Solutions Engineer
- Location
- Aldersbach
- Working Model
- Onsite
- Diversity
- Open for all genders
